In recent years, machine learning (ML) and deep learning (DL) have been the leading
approaches to solving various challenges, such as disease predictions, drug discovery …

Cardiovascular disease holds the position of being the foremost cause of death worldwide.
Heart Disease Prediction (HDP) is a difficult task as it needs advanced knowledge with …

Heart disease is a significant global health issue, contributing to high morbidity and mortality
rates. Early and accurate heart disease prediction is crucial for effectively preventing and …

Abstract Coronary Heart Disease (CHD) is a life-threatening public health problem. Many
chronic CHDs and health risks can be avoided, reversed, and reduced with proper risk …

Cardiovascular Diseases (CVDs) have emerged as a significant physiological condition,
being a primary contributor to mortality. Timely and precise diagnosis of heart disease is …

The findings of this investigation give a novel approach to the forecasting of heart disease.
For the purpose of determining significant features, it is a 2-tier procedure that uses a …

Cardiovascular disease, also known as heart disease, is on the rise. It is imperative to
anticipate possible illnesses in advance, which is a difficult task that demands precision and …

Federated learning is an innovative machine learning technique that deals with centralized
data storage issues while maintaining privacy and security. It involves constructing machine …

The relentless rise in heart disease incidence, a leading global cause of death, presents a
significant public health challenge. Precise prediction of heart disease risk and early …

Heart diseases are consistently ranked among the top causes of mortality on a global scale.
Early detection and accurate heart disease prediction can help effectively manage and …